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cognee

Free

The memory for your AI Agents in 6 lines of code

Search ToolsFreeFree tier
Inputs: text, file, url, apiOutputs: text
Type
Open Source
Visit Website GitHub (17.0k stars)

About cognee

Cognee is an open-source memory platform designed to provide persistent, graph-based memory for AI agents. It captures context from various data sources—such as documents, chats, APIs, and warehouses—and structures it into a recallable memory layer that agents can query across sessions. The platform aims to solve the problem of agents forgetting past interactions, decisions, and knowledge, enabling them to maintain context and improve over time. Cognee can be run locally via pip install and offers a cloud service for scaling, and it integrates with agent frameworks like Claude Code, Cursor, LangGraph, and MCP-compatible clients. It is part of the Berkeley Xcelerator program and is trusted by organizations including Bayer and the University of Wyoming.

Key Features

Open-source memory platform for AI agents
Graph-based memory that captures context and relationships
Supports multiple data source adapters (warehouses, docs, chats, APIs)
Integrates with Claude Code, Cursor, LangGraph, OpenClaw, Hermes, and MCP-compatible agents
Customizable ontologies and data models
Permissions control for governing access
Local deployment with option to scale on Cognee Cloud
Cited recall for agent responses

Pros & Cons

Pros
  • Open-source and free to start locally, with cloud scaling available
  • Graph-based memory enables relationship-aware recall
  • Works with multiple popular agent frameworks and MCP-compatible clients
  • Customizable data models and ontologies for domain-specific needs
  • Permissions control for governing memory access
  • Proven in production use cases (e.g., Bayer, University of Wyoming)
Cons
  • Free local tier likely has limits on scale and features; cloud pricing should be verified
  • Requires setup and integration effort to connect data sources and agents
  • Performance and reliability depend on the underlying infrastructure and data volume
  • Documentation and community support may still be maturing as an open-source project
  • Graph memory complexity may require understanding of knowledge graph concepts

Best For

Giving coding agents long-term memory to recall past work, decisions, and fixes across sessionsBuilding personal journaling or second-brain applications with searchable notes and decisionsSales deal intelligence: storing and querying deals, ICPs, and account informationTechnical and industrial knowledge bases for documentation and manualsCustomer-facing agents that need to recall cited facts and follow domain rulesResearch agents that maintain context and improve from real usage

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FAQ

What is Cognee?
Cognee is an open-source memory platform that provides persistent, graph-based memory for AI agents, allowing them to recall context across sessions.
How do I get started with Cognee?
You can install Cognee locally using 'pip install cognee' and connect it to agent frameworks like Claude Code or MCP clients. The website provides a quickstart guide.
What data sources can Cognee connect to?
Cognee appears to support adapters for warehouses, documents, chats, and APIs, turning them into a recallable memory layer.
Is Cognee free to use?
Cognee is open-source and free to run locally. A cloud service is available for scaling; exact pricing for the cloud tier should be verified on the product's website.
Which AI agents does Cognee work with?
Cognee integrates with Claude Code, Cursor, LangGraph, OpenClaw, Hermes, and any MCP-compatible agent, based on available information.
Can I customize the memory model in Cognee?
Yes, Cognee allows custom ontologies and data models, as well as permissions control, to tailor the memory layer to specific domains.